Graduate School and Research Center in Digital Sciences

Master in Data science and engineering

 

APPLICATIONS OPEN UNTIL JUNE 2017, For more information

 

Language of instruction : English

Coordinator(s)

Description

The "Big Data" phenomenon is rooted in the field of data science and engineering, which aims at developing both computer and mathematical tools for data storage and processing. An increasing volume of data are daily produced by modern day industrial processes (in fields such as energy, intelligent transport systems, aviation industry and many others...), and fuelled by the rise of multimedia tools and the Internet of Things in our daily life.

 

Key Words: Big Data, Data Science, Machine Learning, Data Mining, Deep Learning, Business Intelligence

OBJECTIVES:

  • Combining computer and statistical sciences to develop cutting-edge and fundamental tools to efficiently address applied issues related to data processing.
  • Learn how to develop methods, algorithms and software able to extract value out of huge masses of heterogonous data with several dimensions.
  • Provide a cohesive blend of technical classes in data mining, software engineering, distributed systems coupled with fundamentals in Business, Innovation and Project Management to develop profiles which are highly valued by corporate recruiters.

ADMISSION REQUIREMENTS

To be eligible, Candidates need

  • Bachelor's Degree (minimum 3 years of higher education) in a relevant field  
  • Strong foundations in mathematics
  • A certified B2 level in English. No requirement are needed in French as the program is fully taught in English. 

COURSE DESCRIPTION

Students need to validate a certain amount of credits per Teaching Unit each semester. The curriculum offers great flexibility by offering many electrive courses. Please consult the Academic Schedule and the Frequently Asked Questions for more Information about the schedule organisation.

 

SEMESTER 1 FALL (OCTOBER-JANUARY)

  Systems and mathematical methods   15
T CompArch Computer architecture 5.00
T G_Theory Game Theory 3.00
T ImCod Image Coding 3.00
T ImProc Digital Image Processing 3.00
T InfoTheo Information theory 5.00
T MathEng Essential Mathematical Methods for Engineers 3.00
T MMIR Multimedia indexing and retrieval 3.00
T Netw_I Introduction to computer networking and internet 5.00
T Optim Fundamentals of Optimisation 3.00
T OS Operating systems 5.00
T SecCom Secure communications 5.00
T Stat Statistical data analysis 3.00
T SysSec System and Network Security 5.00
T WebInt Interaction Design and Development of Modern Web Applications 3.00
  Fundamentals DSE   10
T Clouds Distributed Systems and Cloud Computing 5.00
T MALIS Machine Learning and Intelligent System 5.00
  Fundamental in Business, Innovation and Project Management (I)   5
G Entrep Entrepreneurship and Capital-Venture 3.00
G GreenIT Sustainable ICT's 3.00
G Innov Innovation & new product development 3.00
G ManagIntro Introduction to management 5.00
G Property Intellectual property law 3.00
G TeamLead Personal Development and Team Leadership 5.00

Language 1

(French, or another language if the student is already fluent in French)

 

SEMESTER 2 SPRING (FEBRUARY-JUNE)

  Applications (I)   10
T 3DGraph 3-D and virtual imaging (analysis and synthesis) 5.00
T DeepLearning Deep Learning 3.00
T Forensics Cyber-crime and Computer Forensics 5.00
T FormalMet FormalMethods-Formal specification and verification of systems 3.00
T ImSecu Imaging for security applications watermarking & biometrics 3.00
T NetSoft Network Softwerization 3.00
T SecAppli Security applications in networking and distributed systems 3.00
T Speech Speech and audio processing 3.00
T WebSem An Introduction to Semantic Web technologies 3.00
  Machine Learning   10
T AML Algorithmic Machine Learning 5.00
T ASI Advanced Statistical Inference 5.00
  Fundamental in Business, Innovation and Project Management (II)   5
G Business Business Simulation 5.00
G Law General introduction to law : contracts, setting up a business 3.00
G ProjMan Project management 5.00
G SATT Sociological Approaches of Telecom Technologies 3.00

Language 1

(French, or another language if the student is already fluent in French)

 
Semester Project 6
Supervised Semester Projects are based on real-case studies of industrial relevance. They combine a blend of theoretical and practical work (developing new prototypes and tools, testing new technologies, assessing current systems and solutions…). Students can work individually or in group of 2/3. The expected workload is 100 hours of individual work per semester. A defense is organized at the end of each semester. Projects provide students with hands-on skills by allowing them to put concepts into practice.  

SEMESTER 3 FALL (OCTOBER-JANUARY)

  Applications (II)   15
T ADST Advanced Data Science Topics 3.00
T CompArch Computer architecture 5.00
T G_Theory Game Theory 3.00
T ImCod Image Coding 3.00
T ImProc Digital Image Processing 3.00
T InfoTheo Information theory 5.00
T MMIR Multimedia indexing and retrieval 3.00
T MobServ Mobile application and services 5.00
T NetEcon Network Economics 3.00
T OS Operating systems 5.00
T SecCom Secure communications 5.00
T SoftDev Software development methodologies 5.00
T Stat Statistical data analysis 3.00
T SysSec System and Network Security 5.00
T WebInt Interaction Design and Development of Modern Web Applications 3.00
  Fundamental in Business, Innovation and Project Management (III)   5
G Entrep Entrepreneurship and Capital-Venture 3.00
G GreenIT Sustainable ICT's 3.00
G Innov Innovation & new product development 3.00
G ManagIntro Introduction to management 5.00
G Property Intellectual property law 3.00
G TeamLead Personal Development and Team Leadership 5.00

Language 1

(French, or another language if the student is already fluent in French)

 
Semester Project 6
Please see the description of the Project above (Semester 2). 100h  

SEMESTER 4 SPRING (FEBRUARY-AUGUST)

RESEARCH / INDUSTRIAL INTERNSHIP 30 ECTS

The internship is to be carried out in a company or lab in France or abroad. Students work on a research/development project under the supervision of a professor and an industrial mentor.

Students are integrated as part of the staff and receive a monthly allowance, the amount of the allowance depends on the company and position. 

EURECOM provides students with an updated database of paid internship opportunities offered by companies allowing them to use this software to directly send their application to companies.

 

 

 

   APPLY NOW   

 

HOW TO APPLY

Application Guide

 

Financial Guide

Fees, Scholarships, Costs of Living...

 

FEES

The fees for the whole program (2 years/4 Semesters) is:

  • 11 000€
  • 5 000€ (EU Students)

 

 

ADMISSION CONTACT

Caroline HANRAS

Admission Manager

admission [at] eurecom [dot] fr (subject: International%20Master%20in%20Communications%20and%20computer%20security) (Send an email)

Book a SKYPE CALL 

 

 

 

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